NDLI: Improving Data Quality in Practice: A Case Study in the Italian Public Administration

Content Provider	Springer Nature Link
Author	Missier, P. Lalk, G. Verykios, V. Grillo, F. Lorusso, T. Angeletti, P.
Copyright Year	2003
Abstract	Assessing and improving the quality of data stored in information systems are both important and difficult tasks. For an increasing number of companies that rely on information as one of their most important assets, enforcing high data quality levels represents a strategic investment aimed at preserving the value of those assets. For a public administration or a government, good data quality translates into good service and good relationships with the citizens. Achieving high quality standards, however, is a major task because of the variety of ways that errors might be introduced in a system, and the difficulty of correcting them in a systematic way. Problems with data quality tend to fall into two categories. The first category is related to inconsistency among systems such as format, syntax and semantic inconsistencies. The second category is related to inconsistency with reality as it is exemplified by missing, obsolete and incorrect data values and outliers.In this paper, we describe a real-life case study on assessing and improving the quality of the data in the Italian Public Administration. The domain of study is set on taxpayer's data maintained by the Italian Ministry of Finances. In this context, we provide the Administration with a quantitative reckoning of such specific problems as record duplication and address mismatch and obsolescence, we suggest a set of guidelines for setting precise quality improvement goals, and we illustrate analysis techniques for achieving those goals. Our guidelines emphasize the importance of data flow analysis and of the definition of measurable quality indicators. The quality indicators that we propose are generic and can be used to describe a variety of data quality problems, thus representing a possible reference framework for practitioners. Finally, we investigate ways to partially automate the analysis of the causes for poor data quality.
Starting Page	135
Ending Page	160
Page Count	26
File Format	PDF
ISSN	09268782
Journal	Distributed and Parallel Databases
Volume Number	13
Issue Number	2
e-ISSN	15737578
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2003-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Processor Architectures Computer Communication Networks Data Structures, Cryptology and Information Theory Information Storage and Retrieval
Content Type	Text
Resource Type	Article
Subject	Information Systems and Management Information Systems Software Hardware and Architecture

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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